Reduced Device Count for Self Balancing Switched-Capacitor Multilevel Inverter Integration with Renewable Energy Source

Yatindra Gopal (), Yarrem Narasimhulu Vijaya Kumar, Akanksha Kumari, Om Prakash, Subrata Chowdhury and Abdullah A. Almehizia ()
Additional contact information
Yatindra Gopal: Department of Electrical and Electronics Engineering, Sri Venkateswara College of Engineering and Technology, Chittoor 517127, Andhra Pradesh, India
Yarrem Narasimhulu Vijaya Kumar: Department of Electrical and Electronics Engineering, Sri Venkateswara College of Engineering and Technology, Chittoor 517127, Andhra Pradesh, India
Akanksha Kumari: Department of Electronics and Communication Engineering, Sreenivasa Institute of Technology and Management Studies, Chittoor 517127, Andhra Pradesh, India
Om Prakash: Department of Electronics and Communication Engineering, Sri Venkateswara College of Engineering and Technology, Chittoor 517127, Andhra Pradesh, India
Subrata Chowdhury: Department of Computer Science and Engineering, Sreenivasa Institute of Technology and Management Studies, Chittoor 517127, Andhra Pradesh, India
Abdullah A. Almehizia: Future Energy Institute, King Abdulaziz City for Science and Technology, Riyadh 12354, Saudi Arabia

Sustainability, 2023, vol. 15, issue 10, 1-22

Abstract: In this study, a new switched-capacitor-based seven-level inverter topology with a photovoltaic system is presented. The proposed topology requires a smaller number of devices and has the ability to self-balance the voltage across the capacitor. The proposed topology configuration is simple and has the ability to extend to higher levels of voltage. This multilevel inverter topology is suitable for low- and medium-voltage applications with photovoltaic (PV) system integration. To improve the PV system efficiency as an input of a DC–DC boost converter, a Fuzzy logic-based maximum power point controller technique is used. A PV system with a DC–DC boost converter integrates with the proposed seven-level inverter topology. The anti-predatory particle swarm optimization (APSO) technique is used to solve the non-linear transduction equations of the seven-level PV switched-capacitor-based multilevel inverter (7L−PV−SCMLI) topology. The proposed APSO is described to minimize the harmonics in the multilevel inverter (MLIs), which is a complex optimization problem involving a non-linear transcendental equation. Furthermore, APSO can be applied in order to solve non-linear transcendental equations for all symmetrical and asymmetrical MLIs that have equal and non-equal DC sources. The APSO-based selected harmonic elimination (SHE) technique obtained the best switching angle value, and the optimized obtained switching angles reduced the total harmonic distortion (THD) of 7L−PV−SCMLI.

Keywords: PV system; DC–DC Converter; Fuzzy MPPT; SCMLI; APSO (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/10/8000/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/10/8000/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:10:p:8000-:d:1146571

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().